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Statistical Programmer Jobs in Princeton, NJ (NOW HIRING)

Solomon Page

Sr. Statistical Programmer

Princeton, NJ · On-site

$75 - $80/hr

The Senior Statistical Programmer plays a critical role in supporting clinical development programs by providing expert statistical programming leadership across ongoing studies, regulatory ...

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Statistical Programmer information

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$89.4K

$155.8K

$263.3K

How much do statistical programmer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for statistical programmer in Princeton, NJ is $155,754.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,200.00 and $169,200.00 per year, depending on experience, location, and employer.

What is a statistical programmer?

Statistical programmers are professionals who use statistical software and programming languages, such as SAS, R, or Python, to manage, analyze, and report data, often in clinical trials, public health, or research settings. They play a crucial role in transforming raw data into meaningful results by writing code for data cleaning, data manipulation, statistical analysis, and generating reports. Statistical programmers often work closely with statisticians, data managers, and researchers to ensure the accuracy and integrity of data analyses. Their work is essential in industries like pharmaceuticals, healthcare, and academia.

What does a statistical programmer do?

A statistical programmer creates statistical programming deliverables. You ensure excellent programming of analysis-ready data, tables, and figures. You may use Stata for general purpose statistical analysis or SPSS for interactive or batched statistical analysis. Your responsibilities include developing standard operating procedures and complying with guidelines. Other duties include remaining informed on developments in programming standards and meeting all regulatory requirements. You also create PROC statements that call upon named procedures for analysis. You develop programs for dataset integration, prepare resource plans, and assist with quality control of datasets.

What are the key skills and qualifications needed to thrive as a statistical programmer, and why are they important?

To thrive as a Statistical Programmer, you need a strong background in statistics, data analysis, and programming—typically with a degree in statistics, mathematics, computer science, or a related field. Expertise in statistical software such as SAS, R, or Python and familiarity with data management systems like CDISC or SQL are often required, along with relevant certifications. Strong problem-solving abilities, attention to detail, and clear communication skills help you interpret data accurately and collaborate effectively with cross-functional teams. These skills ensure the delivery of high-quality, reproducible statistical analyses crucial for informed decision-making in research and industry settings.

What are some common challenges faced by statistical programmers when working on clinical trial data?

Statistical Programmers often encounter challenges such as managing large, complex datasets, ensuring data integrity, and adhering strictly to regulatory standards (like CDISC SDTM and ADaM). They must also collaborate closely with biostatisticians and data managers to accurately translate statistical analysis plans into code. Tight project timelines and shifting priorities can require strong organizational skills and adaptability. Effective communication and attention to detail are essential for navigating these challenges and delivering reliable results.

What is the difference between Statistical Programmer vs Data Analyst?

AspectStatistical ProgrammerData Analyst
Required CredentialsBachelor's in Statistics, Biostatistics, or related field; experience with SAS, R, or PythonBachelor's in Statistics, Data Science, or related field; proficiency in Excel, SQL, and visualization tools
Work EnvironmentPharmaceutical, clinical research, or healthcare industries; focus on programming and data managementVarious industries including finance, marketing, healthcare; focus on data interpretation and reporting
Employer & Industry UsageCommon in clinical trials, biotech, pharma companiesUsed across multiple sectors like finance, retail, and healthcare

While both roles handle data, Statistical Programmers primarily focus on programming and managing clinical or research data, whereas Data Analysts interpret data to generate insights across various industries. The roles often overlap in skills like statistical software proficiency but differ in their core responsibilities and industry focus.

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Statistical Programmer jobs near you
Infographic showing various Statistical Programmer job openings in Princeton, NJ as of September 2026, with employment types broken down into 2% Internship, 76% Full Time, 14% Part Time, and 8% Contract. Highlights an 80% In-person, 4% Hybrid, and 16% Remote job distribution, with an average salary of $155,754 per year, or $74.9 per hour.

Sr. Statistical Programmer

Princeton, NJ • On-site

Solomon Page
Recruiting and Staffing Services • 201 - 500 employees
Learn more about Solomon Pageexternal

$75 - $80/hr

Contractor

Medical, Dental, Vision, Retirement

Posted 16 days ago

Job description

Our client is looking to fill the role of Senior Statistical Programmer.The Senior Statistical Programmer plays a critical role in supporting clinical development programs by providing expert statistical programming leadership across ongoing studies, regulatory submissions, and cross-functional initiatives. This position is responsible for the development, validation, and delivery of SDTM, ADaM, analysis datasets, tables, listings, and figures (TLFs), as well as patient profiles and ad hoc analyses. The successful candidate will serve as a primary programming representative on study teams, oversee external programming vendors, collaborate closely with Biostatistics, Data Management, Clinical Operations, and Regulatory Affairs, and contribute to the development and maintenance of global programming standards and processes. This role requires extensive experience supporting regulatory submissions, managing complex programming activities, and driving high-quality deliverables across multiple studies and development phases.
  • Hybrid in Princeton, NJ 2 days per week
  • $75-$80/hr
  • 1 year contract+

Responsibilities:
Study Programming and Deliverables
  • Independently manage and support multiple global clinical studies with minimal supervision.
  • Lead statistical programming activities for clinical trials, including the creation, validation, and maintenance of:
    • CDISC-compliant SDTM datasets
    • ADaM datasets
    • Tables, Listings, and Figures (TLFs)
    • Patient profiles
    • Ad hoc analyses and reporting outputs
  • Ensure timely and high-quality delivery of programming outputs for study milestones and regulatory submissions.

Vendor Oversight and Management
  • Provide oversight of external programming vendors responsible for SDTM, ADaM, TLFs, and related deliverables.
  • Review vendor-produced datasets, outputs, documentation, and validation packages to ensure quality, compliance, and consistency.
  • Coordinate vendor activities and facilitate communication to ensure adherence to study timelines and standards.

Cross-Functional Collaboration
  • Serve as the statistical programming representative on cross-functional study teams.
  • Collaborate with statisticians, data managers, clinical scientists, and regulatory teams throughout the study lifecycle.
  • Participate in protocol reviews, Statistical Analysis Plan (SAP) development, Clinical Study Report (CSR) reviews, and other key study activities.
  • Support Data Management activities, including data reconciliation and quality review processes.

Regulatory Submission Support
  • Support global regulatory submissions, including NDA, BLA, MAA, and supplemental submissions.
  • Develop and validate submission-ready datasets and analysis outputs.
  • Contribute to Integrated Summary of Safety (ISS) and Integrated Summary of Efficacy (ISE) programming activities.
  • Support responses to regulatory authority questions and information requests.
  • Ensure compliance with FDA, EMA, and other applicable regulatory requirements related to electronic submissions.

Process Improvement and Standards Development
  • Assist in the development, implementation, and maintenance of departmental programming standards, procedures, and best practices.
  • Support initiatives focused on process optimization, automation, innovation, and adoption of emerging technologies.
  • Collaborate with global colleagues, including teams in Japan, to ensure alignment of programming standards and operational processes.

Required Qualifications:
Education
  • Master's degree in Statistics, Computer Science, Data Science, Health Sciences, Biostatistics, or a related quantitative discipline required.

Experience
  • Minimum of 8 years of statistical programming experience within the pharmaceutical, biotechnology, or life sciences industry.
  • Extensive experience supporting clinical trials across multiple phases of development.
  • Demonstrated expertise in CDISC standards and regulatory submission requirements.
  • Proven experience supporting regulatory submissions, including ISS/ISE integration and CSR programming.
  • Experience responding to regulatory authority requests and queries.
  • Experience with safety reporting activities, including:
    • DSURs (Development Safety Update Reports)
    • Annual Safety Reports
    • Investigator Brochure updates
  • Experience with data integration across multiple studies for regulatory submissions is strongly preferred.
  • Experience with SAS Life Science Analytics Framework (SAS LSAF) is preferred.

Technical Skills
Required
  • Advanced proficiency in SAS (Base SAS, SAS/STAT, SAS/GRAPH, Reporting Procedures, Graphical Procedures, and SAS Macro programming).
  • Strong experience using SAS Version 9.2 or higher within a clinical research environment.
  • Expertise in CDISC standards, including:
    • CDASH
    • SDTM
    • ADaM
  • Strong understanding of electronic regulatory submission requirements and industry standards.
  • Knowledge of ICH-GCP guidelines and related regulatory requirements.
  • Advanced Microsoft Office skills, including Word, Excel, PowerPoint, and Outlook.

Preferred
  • Experience programming in R and/or Python.
  • Familiarity with analytics automation, advanced visualization, and modern statistical programming technologies.

Key Competencies
  • Strong leadership and project management skills.
  • Ability to manage multiple priorities in a fast-paced global environment.
  • Excellent analytical and problem-solving abilities.
  • Strong communication and collaboration skills.
  • High attention to detail and commitment to quality.
  • Ability to work effectively with both internal stakeholders and external vendors.
  • Demonstrated commitment to process improvement and operational excellence.

If you meet the required qualifications and are interested in this role, please apply today.
Clinical Resource Network Distinction
CRN, a division of Solomon Page, offers a comprehensive benefits program for hourly employees. We pride ourselves on offering medical, dental, vision, 401(k), telehealth services, ESOP, and commuter benefits to our employees, including consultants - which sets us apart in the industries we serve.
About CRN
Founded in 2002, Clinical Resource Network (CRN), a division of Solomon Page, provides clinical research and talent solutions for pharmaceutical, biotech, and medical device companies. Focused on forming long-term relationships, services encompass contract staffing, project staffing, consultative services, and full-time placements. For more information, visit https://www.solomonpage.com/crn and connect with us on Facebook and LinkedIn .
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